Lizbeth Naranjo Albarrán
Lizbeth Naranjo Albarrán
Profesora Asociada, Facultad de Ciencias, Universidad Nacional Autónoma de México
Verified email at ciencias.unam.mx
Title
Cited by
Cited by
Year
Addressing voice recording replications for Parkinson’s disease detection
L Naranjo, CJ Pérez, Y Campos-Roca, J Martín
Expert Systems with Applications 46, 286-292, 2016
532016
A two-stage variable selection and classification approach for Parkinson's disease detection by using voice recording replications.
L Naranjo, CJ Perez, J Martin, Y Campos-Roca
Computer methods and programs in biomedicine 142, 147-156, 2017
322017
Bayesian analysis of some models that use the asymmetric exponential power distribution
L Naranjo, CJ Pérez, J Martín
Statistics and Computing 25 (3), 497-514, 2015
142015
Addressing voice recording replications for tracking Parkinson’s disease progression
L Naranjo, CJ Pérez, J Martín
Medical & biological engineering & computing 55 (3), 365-373, 2017
112017
A latent variable-based Bayesian regression to address recording replications in Parkinson's Disease
CJ Pérez, L Naranjo, J Martín, Y Campos-Roca
2014 22nd European Signal Processing Conference (EUSIPCO), 1447-1451, 2014
112014
Addressing misclassification for binary data: probit and t-link regressions
L Naranjo, J Martín, CJ Pérez, MJ Rufo
Journal of Statistical Computation and Simulation 84 (10), 2187-2213, 2014
62014
Bayesian analysis of a skewed exponential power distribution
L Naranjo, CJ Pérez, J Martín
Proceedings of COMPSTAT, 641-652, 2012
62012
A Bayesian hierarchical spatio-temporal model for extreme rainfall in Extremadura (Spain)
JA García, J Martín, L Naranjo, FJ Acero
Hydrological sciences journal 63 (6), 878-894, 2018
52018
A Bayesian approach for misclassified ordinal response data
L Naranjo, CJ Pérez, J Martín, T Mutsvari, E Lesaffre
Journal of Applied Statistics 46 (12), 2198-2215, 2019
42019
Diagnosis and tracking of Parkinson’s disease by using automatically extracted acoustic features
CJ Pérez, Y Campos-Roca, L Naranjo, J Martín
J Alzheimers Dis Parkinsonism 6 (260), 2161-0460.1000260, 2016
42016
Bayesian binary regression with exponential power link
L Naranjo, J Martín, CJ Pérez
Computational Statistics & Data Analysis 71, 464-476, 2014
42014
A hidden Markov model addressing measurement errors in the response and replicated covariates for continuous nondecreasing processes
L Naranjo, CJ Pérez, R Fuentes-García, J Martín
Biostatistics, 2019
22019
Computational Diagnosis of Parkinson's Disease from Speech Based on Regularization Methods
Y Camnos-Roca, F Calle-Alonso, CJ Perez, L Naranjo
2018 26th European Signal Processing Conference (EUSIPCO), 1127-1131, 2018
22018
A Hidden Markov Model to Address Measurement Errors in Ordinal Response Scale and Non-Decreasing Process
L Naranjo, LJR Esparza, CJ Pérez
Mathematics 8 (4), 622, 2020
12020
A New Asymmetric Link-Based Binary Regression Model to Detect Parkinson's Disease by Using Replicated Voice Recordings
N Lizbeth, CJ Pérez, J Martín, F Calle-Alonso
2018 26th European Signal Processing Conference (EUSIPCO), 1182-1186, 2018
12018
Selected Contributions on Statistics and Data Science in Latin America: 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1− 5
I Antoniano-Villalobos, RH Mena, M Mendoza, L Naranjo, ...
Springer Nature, 2019
2019
Skewed link-based regression models for misclassified binary data
L Naranjo, CJ Pérez, J Martín
Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie …, 2019
2019
A Flexible Replication-Based Classification Approach for Parkinson’s Disease Detection by Using Voice Recordings
L Naranjo, R Fuentes-García, CJ Pérez
National Statistics Forum (FNE) and Latin-American Congress of Statistical …, 2018
2018
Modelos de regresión binaria: Aplicaciones para Cáncer Cervicouterino en una clínica de atención de la ciudad de Durango, Dgo. México
EF LARES-BAYONA, L NARANJO-ALBARRÁN, L SÁNCHEZ-ANGUIANO
Revista de Ciencias 4 (13), 41-54, 2017
2017
Misclassification and asymmetry in binary regression model
J Martín, L Naranjo, CJ Pérez
BOOK OF ABSTRACTS, 167, 2016
2016
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